Job Description
Architecting the Future of AI for 2026
Join Nexus Horizon as a Senior AI/ML Architect and help define the technological landscape leading up to 2026. We are seeking a visionary engineer with a passion for generative AI, predictive analytics, and scalable infrastructure. In this role, you will not only build advanced machine learning models but also set the strategic direction for our technology stack in the years to come.
As we prepare for the next phase of digital transformation, we need a leader who can bridge the gap between cutting-edge research and real-world application. You will work with a world-class team to solve complex problems, optimize our core systems, and ensure our products remain at the forefront of innovation.
Why You'll Love It:
- Impact: Play a critical role in shaping the 2026 tech roadmap.
- Compensation: Competitive salary and equity package.
- Environment: Collaborative, innovative, and inclusive culture.
Responsibilities
- Lead AI Strategy: Define the technical vision and architectural roadmap for AI initiatives leading into 2026.
- Model Development: Design, train, and deploy state-of-the-art Deep Learning and Generative AI models.
- System Optimization: Improve data pipelines, model latency, and overall system scalability.
- Team Mentorship: Guide a team of data scientists and engineers, fostering technical excellence and professional growth.
- Research Integration: Stay ahead of industry trends (e.g., LLMs, Computer Vision) and integrate relevant advancements.
- Stakeholder Collaboration: Work closely with product and engineering teams to translate business needs into technical solutions.
Qualifications
- Education: Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- Experience: 7+ years of experience in AI/ML engineering, with at least 2 years in a leadership or architect role.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and SQL. Experience with cloud platforms (AWS/Azure/GCP).
- Strategic Thinking: Ability to anticipate future trends and design systems that are future-proof.
- Communication: Strong verbal and written skills for presenting complex technical concepts to diverse audiences.
- Problem Solving: Demonstrated ability to troubleshoot complex technical challenges and drive projects to completion.